Ship every product decision with evidence behind it.

Confidence by Spotify — Ship every product decision with evidence behind it

Confidence is Spotify's warehouse-native experimentation and feature management platform. Run A/B tests, manage feature flags, define warehouse-native metrics, and make data-informed product decisions — all on top of your own data warehouse. Built on 15 years of operating evidence at Spotify, Confidence provides sequential testing, automatic guardrails, and variance reduction on by default. Try it free at app.confidence.spotify.com — no credit card needed.

Everything you need to experiment and grow

• A/B Testing: Sequential testing, guardrails, CUPED. Built in. — The same methodology Spotify uses for more than 10,000 experiments a year. Always-valid results, automatic guardrails, and variance reduction, on by default.
• Rollouts: Ramps up while metrics hold. Roll back when they don't. — Every release automatically ramps from 1% to 100% while guardrails watch for regressions. If something breaks, you're one click from reverting.
• Feature Flags: Flags that clean up after themselves. — Typed schemas, warehouse-powered targeting, and easy cleanup when a flag has done its job. Feature flags are free, unlimited number of flags, unlimited seats, Google SSO, no credit card.
• Session Replay: Can't reproduce is over. The sessions behind the stats. — Real user sessions with flags and experiment variants overlaid. When a metric dips, jump straight to the sessions that show why.
• Analytics: Get the answer, and the cause. — Ask questions in plain English, get answers with charts and causes, grounded in your experiments, your metrics, and your warehouse.
• Confidence Agent: Watches sessions, experiments, tells you what's next.
• Open Feature: Your last flag rewrite. Built on OpenFeature, a CNCF standard. — Your application talks to the OpenFeature API; Confidence is a provider behind it. Migration kits rewrite competitor SDK code to the standard, one PR per flag, and after that, switching vendors is a provider swap, not a rewrite.

Battle-tested for the last decade at Spotify

300+ Teams shipping daily. 750M+ Users world-wide. 1000s Of device types.

From the Confidence blog

• The Hidden Cost of Winsorizing — Most platforms handle outliers with a data-dependent threshold. That threshold is influenced by the treatment, introducing bias most teams never notice.
• Confidence Loop: Building products that continuously improve — Confidence Loop turns signals from real users into product understanding and improvements, with teams choosing how much of the loop runs autonomously.
• Introducing the Confidence Slack Bot — The Confidence Slack bot puts experiment results, flags, recordings, and analytics in the Slack threads where product questions already start.
• Introducing Confidence Cloud — Confidence Cloud gives you a data warehouse created and operated by Confidence, so you can define entities, send events, and run experiments without setting up warehouse infrastructure of your own.
• Introducing Product Analytics — Product Analytics in Confidence lets you ask questions of your data in plain language and get answers you can explore with more depth and flexibility than a dashboard.

Explore further

• Documentation — Guides, API references, and SDK docs
• Blog — Articles on experimentation and statistical rigour
• Glossary — 131 experimentation and statistics terms
• Comparisons — side-by-side platform comparisons
• RFP guides — RFP guides for evaluating experimentation platforms
• Bootcamp — Free learning program on experimentation
• Pricing — Plans and credit packages
• OpenAPI specification — Machine-readable API schema
• llms.txt — LLM-optimized site index